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Realization of Block Robust Adaptive Filters using Generalized Sliding Fermat Number Transform

Hamzé Alaeddine 1 El Houssaïn Baghious 2 Guillaume Madre 1 Gilles Burel 2
1 LEST - Laboratoire d'Electronique et Systèmes de Télécommunications
2 Lab-STICC_UBO_CACS_COM
Lab-STICC - Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance, UBO - Université de Brest
Abstract : This paper is about an efficient implementation of adaptive filtering for echo cancelers. First, a realization of an improved Block Proportionate Normalized Least Mean Squares (BPNLMS++) using Generalized Sliding Fermat Number Transform (GSFNT) is presented. Unfortunately, during the double-talk mode, the echo cancelers often diverge. We can cope with this problem by employing a double-talk detector formed by two Voice Activity Detectors (VAD's) . We propose a general system based on the Robust-Block-PNLMS ++ (RBPNLMS++) adaptive filter combined with a post-filter. The general system was implemented with GSFNT which can significantly reduce the computation complexity of the filter implantation on Digital Signal Processing (DSP) .
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Conference papers
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https://hal.univ-brest.fr/hal-00487010
Contributor : El Houssaïn Baghious <>
Submitted on : Thursday, May 27, 2010 - 4:14:51 PM
Last modification on : Wednesday, June 24, 2020 - 4:19:23 PM

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  • HAL Id : hal-00487010, version 1

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INSTITUT-TELECOM | CNRS | LAB-STICC_UBO | UNIV-BREST | LAB-STICC | ENIB | LAB-STICC_ENIB | IBNM

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Hamzé Alaeddine, El Houssaïn Baghious, Guillaume Madre, Gilles Burel. Realization of Block Robust Adaptive Filters using Generalized Sliding Fermat Number Transform. 14th European Signal Processing Conference (EUSIPCO 2006), Sep 2006, Florence, Italy. pp.1-5. ⟨hal-00487010⟩

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